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采用信号相邻采样点联合估计的欠定盲源分离算法
引用本文:冯涛,朱立东.采用信号相邻采样点联合估计的欠定盲源分离算法[J].重庆邮电大学学报(自然科学版),2012,24(3):297-302.
作者姓名:冯涛  朱立东
作者单位:电子科技大学通信抗干扰技术国家级重点实验室,四川成都,611731
基金项目:省部级预研基金(9140A220309090C0201)
摘    要:两步策略是当前欠定盲信号分离的基本方法,混叠矩阵的估计是恢复源信号的先决条件。考虑在混合矩阵已经估计的前提下,通过矩阵子空间的方法估计源信号,并且利用信号相邻采样点的相关特性,联合判断任意时刻信号的归属,提高欠定盲源分离算法的抗噪能力。通过仿真实验显示了该算法的性能及实用性。

关 键 词:欠定盲源分离  矩阵子空间  相关性  联合估计
收稿时间:2011/7/11 0:00:00

Under determined blind source separation by applying the adjacent sampling points of signals for joint estimation
FENG Tao,ZHU Lidong.Under determined blind source separation by applying the adjacent sampling points of signals for joint estimation[J].Journal of Chongqing University of Posts and Telecommunications,2012,24(3):297-302.
Authors:FENG Tao  ZHU Lidong
Institution:National Key Laboratory of Science and Technology on Communication of UESTC, Chengdu 611731, P. R. China
Abstract:Two-step strategy is the basic method of under-determined blind source separation currently, and the estimation of mixing matrix is a prerequisite for recovering the source signals. We consider the situation that the mixing matrix has been estimated, and matrix subspace method is applied to estimate source signals. In order to improve anti-noise capability of the underdetermined blind source separation algorithm, the relevant characteristics of adjacent sampling points of signals are used to determine the ownership of the signals at any time. Finally, simulations show the performance and validity of the proposed algorithm.
Keywords:under-determined source separation  matrix subspace  relevant characteristics  joint estimation
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